https://ai.baidu.com/docs#/Face-Detect/top
参考博客:https://blog.csdn.net/qq_38412868/article/details/92394766
调用主要有三步:
官方给的python示例代码,不过这个是python2的代码,python3里已经没有了urllib2,而且很繁琐
给出博主自己编写的py3利用requests的demo:
def get_access_token(client_id, client_secret):
# client_id 为官网获取的AK, client_secret 为官网获取的SK
# 帮助文档
# https://ai.baidu.com/docs#/Auth/top
# 帮助文档中python代码基于python2,本文已经转换为python3x调试通过。
host = 'https://aip.baidubce.com/oauth/2.0/token?grant_type=client_credentials&client_id=' + client_id + '&client_secret=' + client_secret
header = {'Content-Type': 'application/json; charset=UTF-8'}
response1 = requests.post(url=host, headers=header) #
json1 = response1.json() #
access_token = json1['access_token']
return access_token
流程大致是将图片读取为二进制格式,再利用二进制到base64格式的函数转换
打开文件夹,选择图片,自动记录图片目录
def open_pic2base64():
# 本地图片地址,根据自己的图片进行修改
# 打开本地图片,并转化为base64
root = tkinter.Tk() # 创建一个Tkinter.Tk()实例
root.withdraw() # 将Tkinter.Tk()实例隐藏
file_path = tkinter.filedialog.askopenfilename(title=u'选择文件')
f = open(file_path, 'rb')
img = base64.b64encode(f.read()).decode('utf-8')
return img
识别人脸,给出性别、年龄、人种、颜值分数、是否带眼镜等信息
def bd_rec_face(client_id, client_secret):
# 识别人脸,给出性别、年龄、人种、颜值分数、是否带眼镜等信息
# 帮助文档中python代码基于python2,本文已经转换为python3x调试通过。
request_url = "https://aip.baidubce.com/rest/2.0/face/v3/detect"
params = {"image": open_pic2base64(), "image_type": "BASE64",
"face_field": "age,beauty,glasses,gender,race"}
header = {'Content-Type': 'application/json'}
access_token = get_access_token(client_id, client_secret) # '[调用鉴权接口获取的token]'
request_url = request_url + "?access_token=" + access_token
request_url = request_url + "?access_token=" + access_token
response1 = requests.post(url=request_url, data=params, headers=header)
json1 = response1.json()
print("性别为", json1["result"]["face_list"][0]['gender']['type'])
print("年龄为", json1["result"]["face_list"][0]['age'], '岁')
print("人种为", json1["result"]["face_list"][0]['race']['type'])
print("颜值评分为", json1["result"]["face_list"][0]['beauty'], '分/100分')
print("是否带眼镜", json1["result"]["face_list"][0]['glasses']['type'])
# 调用百度API完成人脸识别
"""
Created on 2019-06-21
@author: DaDaBaoBaoRen
"""
import requests
import base64
import tkinter.filedialog
def get_access_token(client_id, client_secret):
# client_id 为官网获取的AK, client_secret 为官网获取的SK
# 帮助文档
# https://ai.baidu.com/docs#/Auth/top
# 帮助文档中python代码基于python2,本文已经转换为python3x调试通过。
host = 'https://aip.baidubce.com/oauth/2.0/token?grant_type=client_credentials&client_id=' + client_id + '&client_secret=' + client_secret
header = {'Content-Type': 'application/json; charset=UTF-8'}
response1 = requests.post(url=host, headers=header) #
json1 = response1.json() #
access_token = json1['access_token']
return access_token
def open_pic2base64():
# 本地图片地址,根据自己的图片进行修改
# 打开本地图片,并转化为base64
root = tkinter.Tk() # 创建一个Tkinter.Tk()实例
root.withdraw() # 将Tkinter.Tk()实例隐藏
file_path = tkinter.filedialog.askopenfilename(title=u'选择文件')
f = open(file_path, 'rb')
img = base64.b64encode(f.read()).decode('utf-8')
return img
def bd_rec_face(client_id, client_secret):
# 识别人脸,给出性别、年龄、人种、颜值分数、是否带眼镜等信息
# 帮助文档中python代码基于python2,本文已经转换为python3x调试通过。
request_url = "https://aip.baidubce.com/rest/2.0/face/v3/detect"
params = {"image": open_pic2base64(), "image_type": "BASE64",
"face_field": "age,beauty,glasses,gender,race"}
header = {'Content-Type': 'application/json'}
access_token = get_access_token(client_id, client_secret) # '[调用鉴权接口获取的token]'
request_url = request_url + "?access_token=" + access_token
request_url = request_url + "?access_token=" + access_token
response1 = requests.post(url=request_url, data=params, headers=header)
json1 = response1.json()
print("性别为", json1["result"]["face_list"][0]['gender']['type'])
print("年龄为", json1["result"]["face_list"][0]['age'], '岁')
print("人种为", json1["result"]["face_list"][0]['race']['type'])
print("颜值评分为", json1["result"]["face_list"][0]['beauty'], '分/100分')
print("是否带眼镜", json1["result"]["face_list"][0]['glasses']['type'])
if __name__ == '__main__':
# 以下为代码功能测试:
# 账户id,client_id 为官网获取的AK, client_secret 为官网获取的SK。
# https://console.bce.baidu.com/ai/?fromai=1#/ai/face/app/list
client_id = XXXXXXXXXXXXXXXXXXXXXXXXXXXXX' # ak
client_secret = 'XXXXXXXXXXXXXXXXXXXXXXXXXXXX' # sk
# 实例1:人脸识别
bd_rec_face(client_id, client_secret)